Literature DB >> 17238652

Semantic approach for text understanding of chief complaints data.

Parsa Mirhaji1, Sean Byrne, Narendra Kunapareddy, S Ward Casscells.   

Abstract

We propose a semantic approach to processing free form text information such as chief complaints using formal knowledge representation and Description Logic reasoning. Our method extracts concepts and as much contextual information as is available in the text. Output is a computationally interpretable representation of this information using the Resource Definition Framework (RDF) and UMLS Metathesaurus.

Mesh:

Year:  2006        PMID: 17238652      PMCID: PMC1839265     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Using UMLS semantics for classification purposes.

Authors:  O Bodenreider
Journal:  Proc AMIA Symp       Date:  2000

2.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

3.  Evaluation of emergency medical text processor, a system for cleaning chief complaint text data.

Authors:  Debbie A Travers; Stephanie W Haas
Journal:  Acad Emerg Med       Date:  2004-11       Impact factor: 3.451

4.  The Unified Medical Language System.

Authors:  D A Lindberg; B L Humphreys; A T McCray
Journal:  Methods Inf Med       Date:  1993-08       Impact factor: 2.176

  4 in total
  1 in total

Review 1.  An integrative review of information systems and terminologies used in local health departments.

Authors:  Jeanette Olsen; Mary Jo Baisch
Journal:  J Am Med Inform Assoc       Date:  2013-09-13       Impact factor: 4.497

  1 in total

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